ESM Preprocessing Gallery
Welcome to the R Gallery for preprocessing data from ESM studies!
This website, based on Revol et al. (in preparation), is a comprehensive resource for those interested in preprocessing data from ESM studies. The purpose is to help researchers in navigating the ESM preprocessing steps (ESM preprocessing framework), by providing them with helpful tools and resources (R code and functions) and assisting them in reporting this critical step effectively. Moreover, we provide guidelines and templates for clearly and concisely report the data preprocessing and the characteristics of the preprocessed dataset. Basic knowledge of R, and the tidyverse suite (e.g., dplyr, ggplot2) is required, and some adaptation of the code to your specific situation may be necessary. This website also comes with its own R package, the esmtools R package. Please remember to cite us if you find our framework and resources helpful in your study. Additionnaly, this website and associated package are open to contributions and will undergo regular updates.This section is dedicated to the importation of the dataset(s), the first look and the preliminary preprocessing methods needed before or after merging data sources.
This section is dedicated to checking if the design and the sampling scheme of the study have been well followed during data collection.
This section is dedicated to checking whether the participants adopted response behaviors that could decrease data quality and quantity (e.g., response time, careless responding).
This section is dedicated to the computation of the scores of interest and any transformation applied to them (e.g., person-mean centering) for later visualizions or statistical models.
This section is dedicated to the description and visualization of the variable of interest as well as the investigation of within and between participant differences.
This section is dedicated to reporting the preprocessing steps and the characteristics of the preprocessed dataset.